The feasibility of dense indoor LorRaWan towards passively sensing human presence

Jascha Grübel; Tyler Thrash; Didier  Hélal; Robert W. Sumner; Christoph Hölscher; Victor R. Schinazi

doi:10.1109/PERCOM50583.2021.9439137

The feasibility of dense indoor LorRaWan towards passively sensing human presence

Jascha Grübel, Tyler Thrash, Didier Hélal, Robert W. Sumner, Christoph Hölscher, Victor R. Schinazi

Faculty of Society & Design

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

3 Citations (Scopus)

4 Downloads (Pure)

Abstract

Long Range Wide Area Network (LoRaWAN) has been advanced as an alternative for creating indoor sensor networks that extends beyond its original long-distance communication purpose. For the present paper, we developed a Dense Indoor Sensor Network (DISN) with 390 sensor nodes and three gateways and empirically evaluated its performance for half a year. Our analysis of more than 14 million transmissions revealed that DISNs achieve a much lower distance coverage compared to previous research. In addition, the deployment of multiple gateways decreased the loss of transmissions due to environmental and network factors such as concurrently received messages. Given the complexity of our system, we received few colliding concurrent messages, which demonstrates a gap between the projected requirements of LoRaWAN systems and the actual requirements of real-world applications. Our attenuation model indicates that robust coverage in an indoor environment can be maintained by placing a gateway every 30 m and every 5 floors. We discuss the application of DISNs for the passive sensing and visualization of human presence using a Digital Twin (DT).

Original language	English
Title of host publication	2021 IEEE International Conference on Pervasive Computing and Communications (PerCom)
Publisher	IEEE Computer Society
Number of pages	11
ISBN (Electronic)	978-1-6654-0418-1
DOIs	https://doi.org/10.1109/PERCOM50583.2021.9439137
Publication status	Published - 22 Mar 2021

Publication series

Name	2021 IEEE International Conference on Pervasive Computing and Communications, PerCom 2021

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10.1109/PERCOM50583.2021.9439137

Cite this

Grübel, J., Thrash, T., Hélal, D., Sumner, R. W., Hölscher, C., & Schinazi, V. R. (2021). The feasibility of dense indoor LorRaWan towards passively sensing human presence. In 2021 IEEE International Conference on Pervasive Computing and Communications (PerCom) Article 9439137 (2021 IEEE International Conference on Pervasive Computing and Communications, PerCom 2021). IEEE Computer Society. https://doi.org/10.1109/PERCOM50583.2021.9439137

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abstract = "Long Range Wide Area Network (LoRaWAN) has been advanced as an alternative for creating indoor sensor networks that extends beyond its original long-distance communication purpose. For the present paper, we developed a Dense Indoor Sensor Network (DISN) with 390 sensor nodes and three gateways and empirically evaluated its performance for half a year. Our analysis of more than 14 million transmissions revealed that DISNs achieve a much lower distance coverage compared to previous research. In addition, the deployment of multiple gateways decreased the loss of transmissions due to environmental and network factors such as concurrently received messages. Given the complexity of our system, we received few colliding concurrent messages, which demonstrates a gap between the projected requirements of LoRaWAN systems and the actual requirements of real-world applications. Our attenuation model indicates that robust coverage in an indoor environment can be maintained by placing a gateway every 30 m and every 5 floors. We discuss the application of DISNs for the passive sensing and visualization of human presence using a Digital Twin (DT).",

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Grübel, J, Thrash, T, Hélal, D, Sumner, RW, Hölscher, C & Schinazi, VR 2021, The feasibility of dense indoor LorRaWan towards passively sensing human presence. in 2021 IEEE International Conference on Pervasive Computing and Communications (PerCom)., 9439137, 2021 IEEE International Conference on Pervasive Computing and Communications, PerCom 2021, IEEE Computer Society. https://doi.org/10.1109/PERCOM50583.2021.9439137

The feasibility of dense indoor LorRaWan towards passively sensing human presence. / Grübel, Jascha; Thrash, Tyler; Hélal, Didier et al.
2021 IEEE International Conference on Pervasive Computing and Communications (PerCom). IEEE Computer Society, 2021. 9439137 (2021 IEEE International Conference on Pervasive Computing and Communications, PerCom 2021).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

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T1 - The feasibility of dense indoor LorRaWan towards passively sensing human presence

AU - Grübel, Jascha

AU - Thrash, Tyler

AU - Hélal, Didier

AU - Sumner, Robert W.

AU - Hölscher, Christoph

AU - Schinazi, Victor R.

PY - 2021/3/22

Y1 - 2021/3/22

N2 - Long Range Wide Area Network (LoRaWAN) has been advanced as an alternative for creating indoor sensor networks that extends beyond its original long-distance communication purpose. For the present paper, we developed a Dense Indoor Sensor Network (DISN) with 390 sensor nodes and three gateways and empirically evaluated its performance for half a year. Our analysis of more than 14 million transmissions revealed that DISNs achieve a much lower distance coverage compared to previous research. In addition, the deployment of multiple gateways decreased the loss of transmissions due to environmental and network factors such as concurrently received messages. Given the complexity of our system, we received few colliding concurrent messages, which demonstrates a gap between the projected requirements of LoRaWAN systems and the actual requirements of real-world applications. Our attenuation model indicates that robust coverage in an indoor environment can be maintained by placing a gateway every 30 m and every 5 floors. We discuss the application of DISNs for the passive sensing and visualization of human presence using a Digital Twin (DT).

AB - Long Range Wide Area Network (LoRaWAN) has been advanced as an alternative for creating indoor sensor networks that extends beyond its original long-distance communication purpose. For the present paper, we developed a Dense Indoor Sensor Network (DISN) with 390 sensor nodes and three gateways and empirically evaluated its performance for half a year. Our analysis of more than 14 million transmissions revealed that DISNs achieve a much lower distance coverage compared to previous research. In addition, the deployment of multiple gateways decreased the loss of transmissions due to environmental and network factors such as concurrently received messages. Given the complexity of our system, we received few colliding concurrent messages, which demonstrates a gap between the projected requirements of LoRaWAN systems and the actual requirements of real-world applications. Our attenuation model indicates that robust coverage in an indoor environment can be maintained by placing a gateway every 30 m and every 5 floors. We discuss the application of DISNs for the passive sensing and visualization of human presence using a Digital Twin (DT).

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Grübel J, Thrash T, Hélal D, Sumner RW, Hölscher C, Schinazi VR. The feasibility of dense indoor LorRaWan towards passively sensing human presence. In 2021 IEEE International Conference on Pervasive Computing and Communications (PerCom). IEEE Computer Society. 2021. 9439137. (2021 IEEE International Conference on Pervasive Computing and Communications, PerCom 2021). doi: 10.1109/PERCOM50583.2021.9439137

The feasibility of dense indoor LorRaWan towards passively sensing human presence

Abstract

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LoRaWAN Dense Indoor Sensor Network (DISN) Transmission Meta Data

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The feasibility of dense indoor LorRaWan towards passively sensing human presence

Abstract

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LoRaWAN Dense Indoor Sensor Network (DISN) Transmission Meta Data

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